Bioinformatics Group, Wageningen University, 6708PB, Wageningen, The Netherlands.
Bijvoet Centre for Biomolecular Research, Faculty of Science - Chemistry, Utrecht University, 3584CH, Utrecht, The Netherlands.
Nucleic Acids Res. 2021 Jul 2;49(W1):W263-W270. doi: 10.1093/nar/gkab353.
Anaerobic bacteria from the human microbiome produce a wide array of molecules at high concentrations that can directly or indirectly affect the host. The production of these molecules, mostly derived from their primary metabolism, is frequently encoded in metabolic gene clusters (MGCs). However, despite the importance of microbiome-derived primary metabolites, no tool existed to predict the gene clusters responsible for their production. For this reason, we recently introduced gutSMASH. gutSMASH can predict 41 different known pathways, including MGCs involved in bioenergetics, but also putative ones that are candidates for novel pathway discovery. To make the tool more user-friendly and accessible, we here present the gutSMASH web server, hosted at https://gutsmash.bioinformatics.nl/. The user can either input the GenBank assembly accession or upload a genome file in FASTA or GenBank format. Optionally, the user can enable additional analyses to obtain further insights into the predicted MGCs. An interactive HTML output (viewable online or downloadable for offline use) provides a user-friendly way to browse functional gene annotations and sequence comparisons with reference gene clusters as well as gene clusters predicted in other genomes. Thus, this web server provides the community with a streamlined and user-friendly interface to analyze the metabolic potential of gut microbiomes.
人体微生物组中的厌氧菌会大量生产各种可直接或间接影响宿主的分子。这些分子的产生,主要来源于其初级代谢,通常编码在代谢基因簇(MGCs)中。然而,尽管微生物组衍生的初级代谢物非常重要,但却没有工具可以预测负责其产生的基因簇。出于这个原因,我们最近引入了 gutSMASH。gutSMASH 可以预测 41 种不同的已知途径,包括参与生物能量学的 MGC,还有一些可能是新途径发现的候选途径。为了使该工具更便于用户使用和访问,我们在此介绍了 gutSMASH 网络服务器,网址为 https://gutsmash.bioinformatics.nl/。用户可以输入 GenBank 组装访问号,也可以上传 FASTA 或 GenBank 格式的基因组文件。用户还可以选择启用其他分析,以深入了解预测的 MGC。交互式 HTML 输出(可在线查看或下载离线使用)提供了一种用户友好的方式来浏览功能基因注释和与参考基因簇以及其他基因组中预测的基因簇的序列比较。因此,这个网络服务器为社区提供了一个简化和用户友好的界面,用于分析肠道微生物组的代谢潜力。